dc.contributor.advisor | Loguinov, Dmitri | |
dc.creator | Xia, Xiangzhou | |
dc.date.accessioned | 2019-01-18T19:37:58Z | |
dc.date.available | 2019-01-18T19:37:58Z | |
dc.date.created | 2016-05 | |
dc.date.issued | 2016-01-15 | |
dc.date.submitted | May 2016 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/174219 | |
dc.description.abstract | Identifying four-vertex subgraphs has long been recognized as a fundamental technique in bioinformatics and social networks. However, listing these structures is a challenging task, especially for graphs that do not fit in RAM. To address this problem, we build a set of algorithms, models, and implementations that can handle massive graphs on commodity hardware. Our technique achieves 4 – 5 orders of magnitude speedup compared to the best prior methods on graphs with billions of edges, with external-memory operation equally efficient. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.subject | graph | en |
dc.subject | motif | en |
dc.title | Efficient and Scalable Listing of Four-Vertex Subgraph | en |
dc.type | Thesis | en |
thesis.degree.department | Computer Science and Engineering | en |
thesis.degree.discipline | Computer Science | en |
thesis.degree.grantor | Texas A & M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Bettati, Riccardo | |
dc.contributor.committeeMember | Reddy, A. L. Narasimha | |
dc.type.material | text | en |
dc.date.updated | 2019-01-18T19:37:59Z | |
local.etdauthor.orcid | 0000-0002-2689-4423 | |